2017
DOI: 10.1186/s12863-016-0468-0
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Abstract: BackgroundAs seed oil content (OC) is a key measure of rapeseed quality, better understanding the genetic basis of OC would greatly facilitate the breeding of high-oil cultivars. Here, we investigated the components of genetic effects and genotype × environment interactions (GE) that govern OC using a full diallel set of nine parents, which represented a wide range of the Chinese rapeseed cultivars and pure lines with various OCs.ResultsOur results from an embryo-cytoplasm-maternal (GoCGm) model for diploid se… Show more

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Cited by 38 publications
(36 citation statements)
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“…Sorghum is the fifth most important cereal crop in terms of production and dedicated arable land, and displays unique adaptations that allow it to withstand harsh conditions at different growth stages. Sorghum is also an excellent model for TF studies [ 28 30 ]. The availability of a complete genome assembly for sorghum now provides an opportunity for the genome-wide identification of SbWRKY genes.…”
Section: Introductionmentioning
confidence: 99%
“…Sorghum is the fifth most important cereal crop in terms of production and dedicated arable land, and displays unique adaptations that allow it to withstand harsh conditions at different growth stages. Sorghum is also an excellent model for TF studies [ 28 30 ]. The availability of a complete genome assembly for sorghum now provides an opportunity for the genome-wide identification of SbWRKY genes.…”
Section: Introductionmentioning
confidence: 99%
“…In plant breeding, multi-environment trials (MET) are mainly used for two breeding purposes: 1) to find the stable high-performing lines—main GEBVs—across environments, 2) to find the most adapted superior genotype—specific GEBV—for a specific region. If genomic prediction is performed in the first scenario, different environments can be treated as a sample from a Target Population of Environments (TEP) [ 4 ] and GEBVs can be estimated across environments by considering the main effects across environments (for exception see [ 5 ]). However, in the second scenario, the aim is to find the locally adapted genotype and the prediction models which consider only main effect may limit their predictive power/accuracy by ignoring G×E interaction term in the model.…”
Section: Introductionmentioning
confidence: 99%
“…Most of the current models for genomic prediction of MET data are based on frequentist inference ( e.g , [ 5 , 7 , 12 15 ]). Recently some studies applied Bayesian variable selection models [ 16 18 ] and Bayesian Gaussian kernel model [ 19 ] for the genomic prediction in MET data.…”
Section: Introductionmentioning
confidence: 99%
“…Reports of craniofacial deformities in cattle commonly include cleft palate or more severe dysplasias [ 30 , 31 , 32 ]. A recent report from India identified a calf with a pathology similar to MD [ 33 ].…”
Section: Discussionmentioning
confidence: 99%